EPN-V2

PPUDPRA3 3. praksisperiode Emneplan

Engelsk emnenavn
Teaching practice, 3rd period
Studieprogram
Praktisk-pedagogisk utdanning, deltid
Praktisk-pedagogisk utdanning, Sandvika
Praktisk-pedagogisk utdanning for yrkesfag, delvis nettbasert
Praktisk-pedagogisk utdanning, Sandefjord
Omfang
0.0 stp.
Studieår
2024/2025
Pensum
HØST 2024
Timeplan
Programplan
Emnehistorikk

Innledning

This course provides a broad introduction to Artificial Intelligence (AI), with methodologies and techniques that can be applied to different application domains. The course will balance theoretical approaches and practical tasks. Two broad AI areas will be covered, namely supervised and unsupervised methods. Among those, standard methods for regression, classification and clustering will be covered, e.g. support vector machines, nearest neighbor, decision tree, K-means, agglomerative and hierarchical clustering. An introduction to the usage of artificial neural networks and backpropagation algorithm will be provided.

Læringsutbytte

Se omtale av praksis i programplanen og i praksisguide for PPU-Y

Innhold

Two examiners. External examiner is used periodically.

Arbeids- og undervisningsformer

None

Arbeidskrav og obligatoriske aktiviteter

The course consists of lectures and seminars on techniques and methods, as well as a project to be carried out in groups of 2 to 4 students. The project will be chosen from a portfolio of available problems, either from industry partners or by the research groups. The students will work in groups and will submit an academic report and give an oral presentation. Lab sessions supporting the assignments will be provided.

Vurdering og eksamen

3 compulsory assignments done in groups of 2-4 students must be approved in order to be admitted to the final exam.

Hjelpemidler ved eksamen

Se omtale av praksis i programplanen og i praksisguide for PPU-Y

Vurderingsuttrykk

No support materials are allowed for the written exam.

Sensorordning

Grade scale A-F.